Introduction to Machine Learning & its Algorithms

Catalog description

Linear regression, logistic regression, classification, clustering, and tree-based machine learning; feature extraction and selection; bias-variance trade-off; probabilistic and statistical analyses of learning models and algorithms. Programming assignments.